Senior Azure Fabric / Databricks Data Engineer

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Location: Mexico

We are looking for an experienced
Senior Data Engineer
with strong hands-on expertise in
Microsoft Fabric, Azure Databricks, and modern cloud data platforms
.

The adecuado candidate will have experience designing and building scalable data pipelines, Lakehouse environments, and enterprise analytics solutions across the full data lifecycle — from ingestion and transformation through analytics and machine learning enablement.

Responsibilities:
- Design scalable data solutions using
Microsoft Fabric and Azure Databricks
- Develop and maintain ETL/ELT pipelines using Fabric Pipelines, Databricks Jobs, and Apache Spark
- Build Lakehouse environments and implement
Bronze / Silver / Gold medallion architecture
- Develop transformations using
PySpark, Scala, SQL, and Spark
- Design dimensional models, fact tables, and analytics-ready datasets
- Implement data quality, validation, lineage, and governance frameworks
- Optimize Spark jobs, SQL queries, clusters, and data warehouse performance
- Support CI/CD, Git, Azure DevOps,



and cloud infrastructure practices
- Work with analysts and data scientists to support Power BI and enterprise analytics

Required Experience:
- 5+ years of Data Engineering / Cloud Data Platform experience
- Hands-on experience with
Microsoft Fabric
- Strong experience with
Azure Databricks
- Advanced
Apache Spark / PySpark / SQL
- Delta Lake and Lakehouse architecture
- ETL/ELT and data pipeline development
- Strong SQL and data modeling experience
- Azure services including ADLS, Azure SQL, Synapse, and Azure DevOps
- Git and CI/CD practices
- Data quality, governance, and metadata management

Nice to have:
- Microsoft Azure or Databricks certifications
- Kafka, Event Hubs, or streaming technologies
- Airflow or other orchestration platforms
- Python beyond Spark
- Docker / Kubernetes
- MLOps experience
- AWS or GCP exposure

If you have strong
Azure Databricks + Microsoft Fabric
expe

📌 Senior Data Engineer (México)
🏢 MPM Consulting
📍 México